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ELLA: Equip Diffusion Models with LLM for Enhanced Semantic Alignment
Automatically find issues in image datasets and practice data-centric computer vision.
Understand Human Behavior to Align True Needs
Japanese input method for fcitx5, powered by azooKey engine
This repo contains the code for our paper An Image is Worth 32 Tokens for Reconstruction and Generation
🚪✊Knock Knock: Get notified when your training ends with only two additional lines of code
STAIR captions: large-scale Japanese image caption dataset
PixArt-Σ: Weak-to-Strong Training of Diffusion Transformer for 4K Text-to-Image Generation
Repository for Meta Chameleon, a mixed-modal early-fusion foundation model from FAIR.
A simple but robust PyTorch implementation of RetNet from "Retentive Network: A Successor to Transformer for Large Language Models" (https://arxiv.org/pdf/2307.08621.pdf)
Implementation of MagViT2 Tokenizer in Pytorch
a research paper for generative cartoon interpolation
Minimal implementation of scalable rectified flow transformers, based on SD3's approach
DiffSeg is an unsupervised zero-shot segmentation method using attention information from a stable-diffusion model. This repo implements the main DiffSeg algorithm and additionally includes an expe…
CeTZ: ein Typst Zeichenpaket - A library for drawing stuff with Typst.
A Native-PyTorch Library for LLM Fine-tuning
High-quality PNGs for logos I made for fun
Open-source and strong foundation image recognition models.
Kana-Kanji Conversion Module written in Swift
A pytorch quantization backend for optimum
Apply screentone to line drawings or colored illustrations with diffusion models.
[WIP] Layer Diffusion for WebUI (via Forge)
Transparent Image Layer Diffusion using Latent Transparency
🕵️♂️ All-in-one OSINT tool for analysing any website
A data-driven line extractor for 2D anime, manga and illustration using Keras.
Repo for my Tensorflow/Keras CV experiments. Mostly revolving around the Danbooru20xx dataset
A list of useful payloads and bypass for Web Application Security and Pentest/CTF
a family of highly capabale yet efficient large multimodal models